Papers with Code 아카이브

Dialogue

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크: 21
평가표: 1
보존된 평가 기록: 1

Dialogue is notoriously hard to evaluate. Past approaches have used human evaluation.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xingniu/sockeye

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/xiwenchao/fully_observed_demo

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

https://github.com/xnancy/convai-transformer

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

https://github.com/xubuvd/guesswhat

Visual Dialogue State Tracking for Question Generation

https://github.com/yachae/hello-world

Key-Value Retrieval Networks for Task-Oriented Dialogue

https://github.com/yangyucheng000/Paper-3/tree/main/acm-mm-2023-picr-master

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

https://github.com/yinghao1019/NLP_and_DL_practice

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ykrmm/ICLR_2020

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ykrmm/TREMBA

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ysglh/Task-Oriented-Dialogue-Dataset-Survey

A Network-based End-to-End Trainable Task-oriented Dialogue System

https://github.com/yurayli/stanford-cs224n-sol

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/zengyan-97/MultiT-C-Dialog

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation

https://github.com/zhang0jhon/AttentionOCR

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/zhanghainan/RNN-S2S

Deep Reinforcement Learning for Dialogue Generation

https://github.com/zhanghainan/RNN-encdec

Deep Reinforcement Learning for Dialogue Generation

https://github.com/zhanghainan/ReinforcingCoherence

Deep Reinforcement Learning for Dialogue Generation

https://github.com/zhanghainan/TailoredSeq2Seq2DifferentConversationScenarios

Deep Reinforcement Learning for Dialogue Generation

https://github.com/zhanghainan/s2s-with-attention

Deep Reinforcement Learning for Dialogue Generation

https://github.com/zliucr/coach

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

https://github.com/zpschang/seqGAN

Adversarial Learning for Neural Dialogue Generation

https://gitlab.com/Jaco-Assistant/Jaco-Master

Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.